To read this content please select one of the options below:

The relationship between stock prices and exchange rates in Asian markets: A wavelet based correlation and quantile regression approach

Arif Billah Dar (Department of Economics, Institute of Management Technology, Ghaziabad, India)
Aasif Shah (Department of Commerce, School of Management, Pondicherry University, Pondicherry, India)
Niyati Bhanja (Department of Economics and International Business, University of Petroleum and Energy Studies (UPES), Dehradun, India)
Amaresh Samantaraya (Department of Economics, Pondicherry University, Pondicherry, India)

South Asian Journal of Global Business Research

ISSN: 2045-4457

Article publication date: 29 July 2014

1281

Abstract

Purpose

The purpose of this paper is to estimate the relationship between stock prices and exchange rates of eight Asian countries. The analysis is based on methodologies that possess the ability to provide a complete representation of data series from both time and frequency perspectives simultaneously. In addition, instead of limiting the analysis to focus on the conditional mean of the response variable y in the regression equation, the authors investigate the extremes of distribution to reveal a range of hidden relationships between these variables.

Design/methodology/approach

Given the limitations of classical methodology of Pearson correlation and least-squares regression, this study estimates the relationship between stock prices and exchange rates through wavelet correlation and cross-correlation to serve as a protocol for different traders who view the market with different time resolutions. In addition, quantile regression technique robust to heteroscedasticity, skewness and leptokurtosis is used to understand the relationship between stock prices and a specified quantile of the exchange rates.

Findings

In accordance with the portfolio balance effect, it is observed that stock prices and exchange rates are negatively correlated at all frequencies. In particular, the negative correlation grows with higher time scales (lower frequency intervals). The findings from quantile regression also suggest that the coefficients are more inclined to be negative when exchange rates are extremely high.

Originality value

The paper contributes to the literature by focussing on the multi-scale relationship between stock prices and exchange rates. In addition, it also analyzes the relationship between stock prices and a specified quantile of the exchange rates.

Keywords

Acknowledgements

JEL Classifications — G10, G15, C22

 The authors are very thankful to the Editor-in-Chief of this journal for highly useful comments and suggestions. The authors also express our gratitude to the reviewers for pointing out some very critical issues that helped us to improve this paper considerably. Standard caveats apply.

Citation

Billah Dar, A., Shah, A., Bhanja, N. and Samantaraya, A. (2014), "The relationship between stock prices and exchange rates in Asian markets: A wavelet based correlation and quantile regression approach", South Asian Journal of Global Business Research, Vol. 3 No. 2, pp. 209-224. https://doi.org/10.1108/SAJGBR-07-2013-0061

Publisher

:

Emerald Group Publishing Limited

Copyright © 2014, Emerald Group Publishing Limited

Related articles